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Company focus

Lifion

How can we explain the sudden 30% decrease in API calls to Lifion's time and attendance tracking service over the past week?

Prepared by NextSprints

15 mins
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Problem Solving Data Analysis Technical Understanding HR Tech Enterprise Software Cloud Services Data Analysis Root Cause Analysis API Management SaaS Time Tracking
Product Management Root Cause Analysis Question: Investigating sudden API call decrease for time tracking service

Introduction

The sudden 30% decrease in API calls to Lifion's time and attendance tracking service over the past week is a critical issue that demands immediate attention. This significant drop could impact revenue, user satisfaction, and overall product performance. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Looking at the timing, I'm thinking this could be related to a recent product update. Has there been any significant change or release in the past week?

Why it matters: Recent changes often correlate with sudden metric shifts. Expected answer: Yes, a minor update was pushed last week. Impact on approach: If true, I'd focus on analyzing the update's impact.

  • Considering the scale of the decrease, I'm wondering if this affects all users equally. Are we seeing this 30% drop across all customer segments or is it concentrated in specific groups?

Why it matters: Helps identify if the issue is universal or segment-specific. Expected answer: The decrease is more pronounced in enterprise customers. Impact on approach: I'd prioritize investigating enterprise-specific factors.

  • Given the nature of time and attendance tracking, I'm curious about any seasonal patterns. Is this decrease unusual compared to historical data for this time of year?

Why it matters: Distinguishes between normal fluctuations and anomalies. Expected answer: This decrease is abnormal for the season. Impact on approach: I'd rule out seasonal factors and focus on recent changes.

  • Thinking about potential technical issues, have there been any reported problems with API availability or performance in the last week?

Why it matters: Technical issues can directly impact API call volume. Expected answer: No significant outages, but some intermittent slowdowns. Impact on approach: I'd investigate the correlation between slowdowns and decreased calls.

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Updated Jan 22, 2025